Academic literature on the topic 'Parking Reservation System'
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Journal articles on the topic "Parking Reservation System"
Putra, Dody Ichwana, Ratna Aisuwarya, Styviandra Ardopa, and Indah Purnama. "Sistem Cerdas Reservasi dan Pemantauan Parkir pada Lokasi Kampus Berbasis Konsep Internet of Things." Jurnal Teknologi dan Sistem Komputer 6, no. 2 (March 23, 2018): 57–63. http://dx.doi.org/10.14710/jtsiskom.6.2.2018.57-63.
Full textGining, Ray Adderley Jm, S. S. M. Fauzi, Muhammad Nabil Fikri Jamaluddin, Muhammad Akram Marizalee, Tajul Rosli Razak, and Anis Afiqah Sharip. "Design and Development of Mobile Application for Parking Reservation System." Journal of Computing Research and Innovation 4, no. 2 (November 14, 2019): 49–59. http://dx.doi.org/10.24191/jcrinn.v4i2.123.
Full textRaibagi, Mr Raghuveer, Mr Vivek Khubchandani, and Mr Aniket Ahuja Mr Kantesh Pidwani Mr Sagar V. Chavan. "A Survey Paper on Car Parking Reservation System for Parking Slots using Android Application." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (October 31, 2018): 1081–83. http://dx.doi.org/10.31142/ijtsrd18823.
Full textShaik, Saif Ali, Oleti B. Revanth, and S. Vigneshwari. "Customer to Customer Parking Reservation System." Journal of Computational and Theoretical Nanoscience 16, no. 8 (August 1, 2019): 3304–10. http://dx.doi.org/10.1166/jctn.2019.8182.
Full textWan, Changsheng, Juan Zhang, and Daoli Huang. "SCPR: Secure Crowdsourcing-Based Parking Reservation System." Security and Communication Networks 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/1076419.
Full textEt. al., Dr K. Subrahmanyam,. "ONLINE TABLE RESERVATION WITH PRE-ORDERING." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 4 (April 10, 2021): 1316–21. http://dx.doi.org/10.17762/turcomat.v12i4.1197.
Full textJogada, PavanKumar, and Vinayak Warad. "Effective Car Parking Reservation System Based on Internet of things Technologies." Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (October 31, 2016): 140–42. http://dx.doi.org/10.9756/bijsesc.8261.
Full textKingston Stanley, P., P. Vijay Daniel, Varun Raj, and A. Sanjevvi Gandhi. "Vehicle parking management and reservation system using lab view." International Journal of Engineering & Technology 7, no. 2.8 (March 19, 2018): 120. http://dx.doi.org/10.14419/ijet.v7i2.8.10343.
Full textNi, Xun-You, and Daniel (Jian) Sun. "Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation System." Journal of Advanced Transportation 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/2576094.
Full textEt. al., Kanaga Suba Raja S. ,. "Parking Slot Reservation System for Efficient Resource Utilization and Profit." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 11, 2021): 394–98. http://dx.doi.org/10.17762/turcomat.v12i2.819.
Full textDissertations / Theses on the topic "Parking Reservation System"
Baitalmal, Ammar. "Mobile Application Based Parking Reservation System." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32575.
Full textChang, Chia-Jung, and 張家榕. "Design and Simulation of a Parking Reservation System." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/02606887493913338717.
Full text國立東華大學
運籌管理研究所
99
It has been long recognized that magnificent demand for transportation in cities makes traffic and environmental problems. One of the problems is the parking issue. Because of the uncertainty of vacant parking spots, drivers cruise for parking spots on street, which does not only frustrate the drivers but also worsen the traffic and air quality. For the urban freight transportation, many vehicles load and unload cargos just in front of the shops, even illegally double parking on the busy lanes. This might fasten the delivery service, but is not acceptable and allowable by law. Therefore, this research develops a parking reservation system that considers the uncertain availability of parking spots, and the uncertain demand for parking. As a result, the proposed reservation system decreases the searching time for parking spots, while increasing the income for the parking facility operators, and thereby improves urban traffic and air quality. In practice, there is not yet a parking reservation system. Besides, the actual parking behaviors are influenced by complex factors. Hence we use simulation technique as our major research method. In the research, we develop two simulation-based parking reservation systems, which are first come-first serve (FCFS) reservation system and, DISTINCT reservation system. We simulate different conditions and calculate the performance measurements, namely the number of completed cars, the searching time savings, the number of rejected freight vehicles, the total income for the parking facility operators (including the parking fee and the reservation fee). Based on the simulation results of 20 replications and compared to the scenario without the reservation system, the FCFS reservation system reduces searching time by 85% on average ( by 94% in the best case and by 81.52% in the worst case). In terms of the total revenue, there is an increase of 30.37% on average, (44.92% the maximum and 12.34% the minimum). Between FCFS and DISTINCT, FCFS serves more reservations than DISTINCT does, because there is a restriction on number of reservation in DISTINCT. In more crowded parking environment, the situation is more obvious. Therefore using FCFS reservation system can not only reduce more searching time, but also increase more total revenue.
Chang, Chia-Kang, and 張家康. "Design and development of a parking reservation system." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/44481311312336081400.
Full text明新科技大學
資訊管理研究所
102
Recently, the progress of wireless communication technology has brought the rapid popularity of smart phones. Therefore, diverse smart phone-based applications (App) have been developed. To provide drivers the useful traffic and parking information, this thesis designs and develops a system to reserve parking spaces. The proposed system consists of three subsystems: a cellular phone-based reservation subsystem, a parking ticket recognition subsystem, and a parking management subsystem. The proposed system not only provides drivers the available parking lots in the vicinity, but also supports the reservation of parking spaces. All the functions of the proposed system are validated via experimental tests, and the results show that the proposed system can work correctly. Overall, the proposed system achieves the concept of online to offline (O2O). It can provide the real-time and convenient information about parking spaces and save the time cost of drivers for searching the available parking lots.
Lin, Wei, and 林威. "A Study of Pricing on Parking Space Reservation System." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/73026710937590229620.
Full text國立臺灣大學
土木工程學研究所
104
Under considerations of economy growth and the car-oriented transport policy, the number of vehicles increases rapidly in recent years. This leads to the problem of lacking parking space, which becomes more and more serious. In large cities, this problem is even worse, where it causes inconvenience to the public. Since the price is important for the transport model choice, parking operators can control the demand of vehicle parking efficiently by increasing parking fee. On the other hand, because most of pricing policies related to parking are inflexible, the revenue of parking lot is capped. According to these reasons, the pricing schemes of parking should be improved. In order to solve the above problems, a dynamical scheme was proposed for the parking, that is based on the concept of revenue management. During rush hours, the price is higher. The parking lot operators can make more profits, although the number of customers is suppressed. During off-peak hour, the price is lower in order to attract customers. The parking lot operators may encounter lots of problems while implementing the dynamical pricing policy, such as the troubles in notifying customer prices. Therefore, we construct a dynamical pricing model which is based on reservation system. This thesis assumes that number of customers can be controlled by adjusting parking price. The research is mainly made of two parts, which are the dynamical pricing model and the forecast model. A data preprocessing module was used to remove the outliers and perform missing data interpolation. The forecast model based on ARIMA and Fourier transform is capable of predicting the number of customers. In order to predict the number closer to the actual situation, Kalman filter and k-NN algorithm are employed when updating prediction. The preferred price can then be set by the dynamical pricing model according to the prediction.
Hung, Yun-Chu, and 洪筠筑. "Optimal Scheduling of Advance Reservations for Shared Parking Systems." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/xn666v.
Full text國立交通大學
運輸與物流管理學系
107
Recently, shared parking has been considered as an effective means of resolving parking problems in several urban areas around the world. Private parking owners such as companies, universities, hospitals and individuals can rent out their parking space at times they don’t use it. It allows drivers to park their cars at parking spaces that are so far and not accessible for them and hence may help drivers to avoid the long search and circling around to find an empty parking space. This study proposes a parking space-flow network modeling approach to deal with the optimal scheduling of advance reservations for shared parking systems. The objective of this model is to determine the optimal assignment and schedule of all requests which maximizes the profit of the operator of a shared parking system. We conduct small-, medium- and large-scale instances using real-based data and apply the Gurobi Optimizer to solve these instances. However, the proposed model is formulated as an integer multi-commodity network flow problem. We develop the simulated annealing (SA) algorithm to solve these instances efficiently. The numerical results show that the proposed model and its solution algorithm are able to effectively and efficiently generate schedules of advanced parking requests. This study provides an effective means of obtaining optimal assignments and schedules of advance reservations for shared parking systems.
Book chapters on the topic "Parking Reservation System"
Dhanalakshmi, A., J. Brindha, R. J. Vijaya Saraswathi, and S. Sukambika. "Intelligent Parking Reservation System in Smart Cities." In Emerging Trends in Computing and Expert Technology, 1163–69. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32150-5_119.
Full textChia, Wai Chong, and Nami Salimi. "A Smart Parking and Reservation System for QR-Code-Based Car Park." In Contributions to Economics, 91–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41585-2_8.
Full textReddy, Keesara Sravanthi. "Blockchain-Enabled Decentralization Service for Automated Parking Systems." In Advances in Data Mining and Database Management, 51–63. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3295-9.ch004.
Full textRao, Madhuri, and Narendra Kumar Kamila. "Wireless Sensor Network Enabled Vehicle Parking System." In Sensor Technology, 895–916. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2454-1.ch043.
Full textRao, Madhuri, and Narendra Kumar Kamila. "Wireless Sensor Network Enabled Vehicle Parking System." In Advances in Wireless Technologies and Telecommunication, 439–61. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0501-3.ch018.
Full textConference papers on the topic "Parking Reservation System"
Hongwei Wang and Wenbo He. "A Reservation-based Smart Parking System." In IEEE INFOCOM 2011 - IEEE Conference on Computer Communications Workshops. IEEE, 2011. http://dx.doi.org/10.1109/infcomw.2011.5928901.
Full textPriyanka, J. G. Varuna, Murshed Hashim, and W. G. C. W. Kumara. "A text messaging based parking reservation system." In 2015 8th International Conference on Ubi-Media Computing (UMEDIA). IEEE, 2015. http://dx.doi.org/10.1109/umedia.2015.7297440.
Full textSomani, Azhar, Shubham Periwal, Kesha Patel, and Pranit Gaikwad. "Cross Platform Smart Reservation Based Parking System." In 2018 International Conference on Smart City and Emerging Technology (ICSCET). IEEE, 2018. http://dx.doi.org/10.1109/icscet.2018.8537282.
Full textYugopuspito, Pujianto, Ryant A. Herwansyah, Dion Krisnadi, Sutrisno Cahya, and Frans Panduwinata. "Performance notification in a reservation-based parking system." In 2016 International Seminar on Intelligent Technology and Its Applications (ISITIA). IEEE, 2016. http://dx.doi.org/10.1109/isitia.2016.7828698.
Full textLin, Jiazao, Jimin Wang, and GuiLin Chen. "A Novel Reservation Approach for Smart Parking System." In 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW). IEEE, 2019. http://dx.doi.org/10.1109/icce-tw46550.2019.8991735.
Full textHashimoto, So, Ryo Kanamori, and Takayuki Ito. "Auction-Based Parking Reservation System with Electricity Trading." In 2013 IEEE 15th Conference on Business Informatics (CBI). IEEE, 2013. http://dx.doi.org/10.1109/cbi.2013.14.
Full textHe, Heng, Zhixian Zhang, and Pengyu Yan. "A Real-Time Reservation Service for Smart Parking System." In 2018 15th International Conference on Service Systems and Service Management (ICSSSM). IEEE, 2018. http://dx.doi.org/10.1109/icsssm.2018.8464959.
Full textHanif, Noor Hazrin Hany Mohamad, Mohd Hafiz Badiozaman, and Hanita Daud. "Smart parking reservation system using short message services (SMS)." In Advanced Systems (ICIAS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icias.2010.5716179.
Full textQing-Feng, Wang, and Wang Qing-Gang. "Research on Public Parking Reservation System Based on SMS." In First International Conference on Transportation Information and Safety (ICTIS). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41177(415)81.
Full textHashimoto, So, Ryo Kanamori, Takayuki Ito, and Shantanu Chakraborty. "Evaluation of Parking Reservation System with Auction Including Electricity Trading." In 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE, 2012. http://dx.doi.org/10.1109/wi-iat.2012.200.
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